Turn a pile of user-research notes into a clear read on what users actually want. Get the top themes ranked by how many people raised them, a real quote for each, and a recommendation on where to focus.
Synthesize the top themes from [our recent user-research notes] in the Knowledge Center, chart the most-mentioned ones with a representative quote for each, and tell me where to focus next.
An illustrative example. Your output will reflect your own sources, data, and prompts.
I read all 46 notes from your Q2 research round in the Knowledge Center and grouped what people said into recurring themes. Four came up often enough to act on, ranked by how many different users raised each one.
Across the 46 discovery-call notes, four themes came up again and again. I counted every note where each one surfaced, so the ranking reflects how many separate users raised it, not how loudly.
Themes by number of notes that raised them, of 46 total.
If you fix one thing this quarter, make it onboarding. At 34 notes it leads the count by a wide margin, it's the theme most tied to users who churned in their first month, and three of the other complaints barely matter to someone who never gets set up. Board speed, at 27 notes, is the natural second. It hits your most engaged accounts, the ones least likely to forgive it.
This isn’t a one-round spike, either. Onboarding has grown every round we’ve measured (18 notes in Q4, 26 in Q1, and 34 this quarter), so acting on it now gets ahead of a widening problem, not a one-off.
| Round | Notes raising onboarding |
|---|---|
| Q4 2025 | 18 |
| Q1 2026 | 26 |
| Q2 2026 | 34 |
Want me to pull every onboarding quote into one list, or draft the top theme as a problem statement you can drop into a PRD?
User Feedback Synthesizer reads the research notes you've already gathered and groups what people said into recurring themes. The JoySuite assistant Joy counts how many notes raise each theme, pulls a representative quote for each, and tells you which one to act on first.
Drop your interview notes, survey responses, or support tickets into the Knowledge Center. Rough, unedited notes are fine. Joy works with real, messy research.
Ask Joy to synthesize the top themes and rank them by how many notes raise each one. Point it at a specific research round or the whole batch.
Get themes ranked by mention count, a representative quote for each, and a recommendation on where to focus. Every theme ties back to what people actually said.
Ask follow-ups like "pull every quote about onboarding" or "write the top theme as a problem statement," then copy the result into your PRD, roadmap doc, or wherever you plan.
Save this ask as a custom command on the assistant your product team already uses, customize the sources and wording, and anyone can run it in one click.
Themes are ordered by how many notes raise them, so you can tell a widespread pattern from a single loud voice.
Every theme comes with a representative quote in the user's own words, ready to drop into a deck or a PRD.
Joy names the one theme worth acting on first and explains why, rather than leaving you a flat list.
Re-run after each research round to see which themes are growing, shrinking, or newly emerging.
Split themes by user type (new vs. power users, or by plan tier) to see who's asking for what.
Separate praise from complaints so you know what's working as well as what's broken.
Compare this quarter's themes to last quarter's to track whether a fix actually landed.
Turn the top theme into a crisp problem statement your team can size and prioritize.
JoySuite reads the research notes in your Knowledge Center and groups what people said into recurring themes. It counts how many notes raise each theme, so the ranking reflects how widespread a pattern is rather than how strongly one person felt about it.
Every theme ties back to the notes you provided, with a representative quote in the user's own words and a count of how many notes raised it. You can ask Joy to pull every quote behind a theme so you can verify the pattern yourself.
Interview notes, survey responses, support tickets, sales and CS notes, app reviews, and logged feature requests all work. Rough, unedited notes are fine. There's no need to tag or format them first.
Reading forty pages of notes tends to anchor you on the last conversation. Joy counts every mention across the whole batch at once, which surfaces the widespread patterns and keeps a single vivid interview from dominating the read.
Yes. Re-run the synthesis after each research round and ask Joy to compare it to the previous one. You'll see which themes are growing, shrinking, or newly emerging, which helps confirm whether a fix actually landed.
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